Staff Software Engineer, Finance Automation

Toast

2d•$151,000 - $309,000•Hybrid

About The Position

Toast is seeking a hands-on Staff Software Engineer to join the Finance AI & Automation team. This role involves transforming AI prototypes into enterprise-grade backend microservices, data pipelines, and internal tools to automate manual processes within the finance department. The engineer will bridge the gap between AI innovation and systems architecture, working on distributed backend systems, event-driven integrations, and lightweight frontend UI surfaces for finance teams. The position is within a central Engineering team, reporting to the Office of the CFO.

Requirements

Proven track record as a Staff (or senior-level lead) engineer with deep expertise in distributed backend systems.
Practical ability to ship frontend UI surfaces or admin portals.
Advanced hands-on experience shipping Kotlin (or strong JVM equivalent) services on AWS, with deep familiarity in cloud-native backend patterns.
Practical experience productionizing LLM frameworks and agentic architectures (tool use, retrieval/RAG, evals, context management).
Strong judgment on when an AI agent is required versus a traditional backend system or cron job.
Extensive experience with enterprise integration frameworks, message brokers, and distributed data stores—specifically Apache Camel, Apache Pulsar, DynamoDB, and Dropwizard (or direct equivalents).
Advanced data engineering instincts across SQL, warehouse modeling, pipeline design, and managing data flow/consistency across relational and NoSQL storage systems.
Ability to balance immediate high-impact automation with long-term platform scalability.
Exceptional technical writing that translates complex architectural trade-offs to executive stakeholders.

Nice To Haves

Extensive background in Fintech, revenue systems, automated reconciliation, or operating within strict SOX/PCI control environments.
Deep experience building internal platforms, administrative dashboards, or operator tooling for non-technical business users.
Prior experience embedded directly alongside finance, revenue, or business ops functions to solve core operational scaling challenges.

Responsibilities

Architecting, coding, and operating high-performance backend services using Kotlin and AWS.
Transforming agentic AI prototypes into scalable, monitored, and permissioned microservices with audit trails and automated error handling.
Building full-stack operator tools, including backend APIs, pipelines, and lightweight UI surfaces for finance teams.
Designing resilient integrations across billing platforms, ERP systems, Salesforce, data warehouses, and internal Toast services.
Engineering around SOX scope, PCI boundaries, and data access requirements with Security, Compliance, and Audit teams.
Owning end-to-end technical strategy from business problems to build sequencing, and driving technical cases for core platform integration.